code: def create_validations(self, args=None, **kwargs):
      if "using" in args:
          args = args["using"]
  
      if "api_key" not in args:
          raise Exception("API_KEY not found")
      api_key = args["api_key"]
      if "model_id" in args:
          if "cl_" not in args["model_id"]:
              raise Exception(
                  "Classifier tasks are only supported currently"
              )
      else:
          raise Exception("Enter the model_id of model you want use")
      model_id = args["model_id"]
      # Check whether the model_id given by user exists in the user account or monkeylearn pre-trained models
      url = "https://api.monkeylearn.com/v3/classifiers/"
      response = requests.get(
          url, headers={"Authorization": "Token {}".format(api_key)}
      )
      if response.status_code == 200:
          models = response.json()
          models_list = [model["id"] for model in models]
      else:
          raise Exception(f"Server response {response.status_code}")
  
      if model_id not in models_list:
          raise Exception(
              f"Model_id {args['model_id']} not found in MonkeyLearn pre-trained models"
          )
  
file_path: mindsdb/mindsdb/integrations/handlers/monkeylearn_handler/monkeylearn_handler.py
imports: from typing import Optional, Dict
  import pandas
  import requests
  from monkeylearn import MonkeyLearn
  from mindsdb.integrations.libs.base import BaseMLEngine
label_desc: Use image node_id 1 for calling the monkeylearnHandler obj's underlying member method code with example usage: obj.create_validations(args) without return types